""" from https://github.com/keithito/tacotron """
from text import cleaners
from text.symbols import symbols

# Mappings from symbol to numeric ID and vice versa:
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}


def text_to_sequence(text, cleaner_names):
    '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
      Args:
        text: string to convert to a sequence
        cleaner_names: names of the cleaner functions to run the text through
      Returns:
        List of integers corresponding to the symbols in the text
    '''
    sequence = []

    clean_text = _clean_text(text, cleaner_names)
    for symbol in clean_text:
        if symbol not in _symbol_to_id.keys():
            continue
        symbol_id = _symbol_to_id[symbol]
        sequence += [symbol_id]
    return sequence

def text_to_sequence_with_hps(text, symbols, cleaner_names):
  '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
    Args:
      text: string to convert to a sequence
      cleaner_names: names of the cleaner functions to run the text through
    Returns:
      List of integers corresponding to the symbols in the text
  '''
  _symbol_to_id_local = {s: i for i, s in enumerate(symbols)}
  sequence = []

  clean_text = _clean_text(text, cleaner_names)
  for symbol in clean_text:
    if symbol not in _symbol_to_id_local.keys():
      continue
    symbol_id = _symbol_to_id_local[symbol]
    sequence += [symbol_id]
  return sequence


def text_to_sequence_VC(text, symbols, cleaner_names):
    '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
      Args:
        text: string to convert to a sequence
        cleaner_names: names of the cleaner functions to run the text through
      Returns:
        List of integers corresponding to the symbols in the text
    '''
    sequence = []
    symbol_to_id = {s: i for i, s in enumerate(symbols)}
    clean_text = _clean_text(text, cleaner_names)
    print(clean_text)
    print(f" length:{len(clean_text)}")
    for symbol in clean_text:
        if symbol not in symbol_to_id.keys():
            continue
        symbol_id = symbol_to_id[symbol]
        sequence += [symbol_id]
    print(f" length:{len(sequence)}")
    return sequence


def cleaned_text_to_sequence(cleaned_text, symbols):
    '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
      Args:
        text: string to convert to a sequence
      Returns:
        List of integers corresponding to the symbols in the text
    '''
    symbol_to_id = {s: i for i, s in enumerate(symbols)}
    sequence = [symbol_to_id[symbol] for symbol in cleaned_text if symbol in symbol_to_id.keys()]
    return sequence


def sequence_to_text(sequence):
    '''Converts a sequence of IDs back to a string'''
    result = ''
    for symbol_id in sequence:
        s = _id_to_symbol[symbol_id]
        result += s
    return result


def _clean_text(text, cleaner_names):
    for name in cleaner_names:
        cleaner = getattr(cleaners, name)
        if not cleaner:
            raise Exception('Unknown cleaner: %s' % name)
        text = cleaner(text)
    return text
